Serverless Agentic Workflows with Amazon Bedrock
by DeepLearning.AI × AWS
Deploy agents that scale to zero using serverless infrastructure and Amazon Bedrock guardrails.
Overview
This course addresses the operational side of agents: how to run them serverlessly so they scale to zero and stay cheap, and how to add guardrails for safety and compliance. Using Amazon Bedrock Agents, you build a customer-facing workflow, attach tools, and apply Bedrock Guardrails to filter unsafe content — a practical look at production deployment concerns.
At a Glance
- Topic
- Agentic
- Level
- Intermediate
- Format
- Course
- Cost
- Free
- Duration
- ~1-2 hours
- Provider
- DeepLearning.AI × AWS
- Hands-on
- Yes — code/exercises
- Certificate
- None
What You’ll Learn
- ✓Building agents with Amazon Bedrock Agents
- ✓Serverless deployment that scales to zero
- ✓Applying responsible-AI guardrails
- ✓Connecting agents to enterprise tools and data
Highlights
- •Production/ops focus, not just prototyping
- •Guardrails and cost-aware architecture
Who It’s For
Best For
- ✓Engineers deploying agents on AWS
Prerequisites
- •Intermediate Python
- •Basic AWS familiarity
FAQ
What is Serverless Agentic Workflows with Amazon Bedrock?
Learn to build and deploy agentic workflows on serverless infrastructure with Amazon Bedrock, including responsible-AI guardrails.
Is Serverless Agentic Workflows with Amazon Bedrock free?
Serverless Agentic Workflows with Amazon Bedrock is free to access.
What level is Serverless Agentic Workflows with Amazon Bedrock for?
Serverless Agentic Workflows with Amazon Bedrock is aimed at a intermediate audience. Recommended background: Intermediate Python, Basic AWS familiarity.
How long does Serverless Agentic Workflows with Amazon Bedrock take?
Expect roughly ~1-2 hours. Most learners work through it at their own pace.
What will I learn from Serverless Agentic Workflows with Amazon Bedrock?
You'll learn: Building agents with Amazon Bedrock Agents; Serverless deployment that scales to zero; Applying responsible-AI guardrails; Connecting agents to enterprise tools and data.